{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* summary: 第十章实验的代码，LSTM城市污染数据预测\n",
    "* author: Mr. GAO\n",
    "* date：2022-9-27\n",
    "* 数据说明\n",
    "    * No: 行号\n",
    "    * year: 数据年份\n",
    "    * month: 数据月份\n",
    "    * day: 数据日\n",
    "    * hour: 数据小时\n",
    "    * pm2.5: pm2.5浓度\n",
    "    * DEWP: Dew Point露点（空气中水气含量达到饱和的气温，低于此温度时水气从空气中析出凝成水珠）\n",
    "    * TEMP: 温度Temperature\n",
    "    * PRES: 气压Pressure\n",
    "    * cbwd: 风向Combined wind direction\n",
    "    * Iws: 风速Cumulated wind speed\n",
    "    * Is: 累计下雪小时Cumulated hours of snow\n",
    "    * Ir: 累计下雨小时Cumulated hours of rain\n",
    "**********"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 加载数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 读入csv数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pm2.5</th>\n",
       "      <th>DEWP</th>\n",
       "      <th>TEMP</th>\n",
       "      <th>PRES</th>\n",
       "      <th>cbwd</th>\n",
       "      <th>Iws</th>\n",
       "      <th>Is</th>\n",
       "      <th>Ir</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year_month_day_hour</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-01 00:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-21</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>1021.0</td>\n",
       "      <td>NW</td>\n",
       "      <td>1.79</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 01:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-21</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>NW</td>\n",
       "      <td>4.92</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 02:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-21</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>1019.0</td>\n",
       "      <td>NW</td>\n",
       "      <td>6.71</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 03:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-21</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>1019.0</td>\n",
       "      <td>NW</td>\n",
       "      <td>9.84</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 04:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-20</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>1018.0</td>\n",
       "      <td>NW</td>\n",
       "      <td>12.97</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     pm2.5  DEWP  TEMP    PRES cbwd    Iws  Is  Ir\n",
       "year_month_day_hour                                               \n",
       "2010-01-01 00:00:00    NaN   -21 -11.0  1021.0   NW   1.79   0   0\n",
       "2010-01-01 01:00:00    NaN   -21 -12.0  1020.0   NW   4.92   0   0\n",
       "2010-01-01 02:00:00    NaN   -21 -11.0  1019.0   NW   6.71   0   0\n",
       "2010-01-01 03:00:00    NaN   -21 -14.0  1019.0   NW   9.84   0   0\n",
       "2010-01-01 04:00:00    NaN   -20 -12.0  1018.0   NW  12.97   0   0"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "\n",
    "def parse(x):\n",
    "\treturn datetime.strptime(x, '%Y %m %d %H') #函数根据指定的格式把一个时间字符串解析为时间元组。\n",
    "raw_df = pd.read_csv('./data/raw.csv',  \n",
    "                   parse_dates = [['year', 'month', 'day', 'hour']], \n",
    "                   index_col=0, \n",
    "                   date_parser=parse)     # 读原始数据，并把year\\month\\day\\hour列合并为一列，并指定parse函数将其转为时间\n",
    "raw_df.drop('No', axis=1, inplace=True)   # 删除“No,行号”列\n",
    "\n",
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 手动更改列名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PM2.5</th>\n",
       "      <th>露点</th>\n",
       "      <th>温度</th>\n",
       "      <th>气压</th>\n",
       "      <th>风向</th>\n",
       "      <th>风速</th>\n",
       "      <th>降雪</th>\n",
       "      <th>降雨</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>时间</th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>2010-01-02 00:00:00</th>\n",
       "      <td>129.0</td>\n",
       "      <td>-16</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>1.79</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-02 01:00:00</th>\n",
       "      <td>148.0</td>\n",
       "      <td>-15</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>2.68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-02 02:00:00</th>\n",
       "      <td>159.0</td>\n",
       "      <td>-11</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>1021.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>3.57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-02 03:00:00</th>\n",
       "      <td>181.0</td>\n",
       "      <td>-7</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>1022.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>5.36</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-02 04:00:00</th>\n",
       "      <td>138.0</td>\n",
       "      <td>-7</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>1022.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>6.25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     PM2.5  露点   温度      气压  风向    风速  降雪  降雨\n",
       "时间                                                           \n",
       "2010-01-02 00:00:00  129.0 -16 -4.0  1020.0  SE  1.79   0   0\n",
       "2010-01-02 01:00:00  148.0 -15 -4.0  1020.0  SE  2.68   0   0\n",
       "2010-01-02 02:00:00  159.0 -11 -5.0  1021.0  SE  3.57   0   0\n",
       "2010-01-02 03:00:00  181.0  -7 -5.0  1022.0  SE  5.36   1   0\n",
       "2010-01-02 04:00:00  138.0  -7 -5.0  1022.0  SE  6.25   2   0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.columns = ['PM2.5', '露点', '温度', '气压', '风向', '风速', '降雪', '降雨']\n",
    "raw_df.index.name = '时间'\n",
    "raw_df = raw_df[24:]       # 前面24小时的PM2.5为NaN，直接丢弃\n",
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 将PM2.5列中的NaN替换为0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>PM2.5</th>\n",
       "      <th>露点</th>\n",
       "      <th>温度</th>\n",
       "      <th>气压</th>\n",
       "      <th>风向</th>\n",
       "      <th>风速</th>\n",
       "      <th>降雪</th>\n",
       "      <th>降雨</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>时间</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-02 00:00:00</th>\n",
       "      <td>129.0</td>\n",
       "      <td>-16</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>1.79</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-02 01:00:00</th>\n",
       "      <td>148.0</td>\n",
       "      <td>-15</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>2.68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-02 02:00:00</th>\n",
       "      <td>159.0</td>\n",
       "      <td>-11</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>1021.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>3.57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-02 03:00:00</th>\n",
       "      <td>181.0</td>\n",
       "      <td>-7</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>1022.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>5.36</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-02 04:00:00</th>\n",
       "      <td>138.0</td>\n",
       "      <td>-7</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>1022.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>6.25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     PM2.5  露点   温度      气压  风向    风速  降雪  降雨\n",
       "时间                                                           \n",
       "2010-01-02 00:00:00  129.0 -16 -4.0  1020.0  SE  1.79   0   0\n",
       "2010-01-02 01:00:00  148.0 -15 -4.0  1020.0  SE  2.68   0   0\n",
       "2010-01-02 02:00:00  159.0 -11 -5.0  1021.0  SE  3.57   0   0\n",
       "2010-01-02 03:00:00  181.0  -7 -5.0  1022.0  SE  5.36   1   0\n",
       "2010-01-02 04:00:00  138.0  -7 -5.0  1022.0  SE  6.25   2   0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import math\n",
    "pm2_5_mean = int(math.ceil(raw_df['PM2.5'].mean()))\n",
    "raw_df['PM2.5'].fillna(pm2_5_mean, inplace=True)\n",
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 绘制原始数据中，各个量随时间序列的变化曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1920x1440 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "values = raw_df.values\n",
    "# 绘制各列数据图，因为风向（wind_dir）不是数值数据，所以没有绘制\n",
    "groups = [0, 1, 2, 3, 5, 6, 7]\n",
    "i = 1\n",
    "# plot each column\n",
    "plt.figure(dpi = 300)\n",
    "\n",
    "plt.rcParams['font.sans-serif']=['SimHei']  #防止中文在图上不能显示\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "for group in groups:\n",
    "\tplt.subplot(len(groups), 1, i)\n",
    "\tplt.plot(values[10000:10000+24*30, group])\n",
    "\tplt.title(raw_df.columns[group], y=0.5, loc='right')\n",
    "\ti += 1\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 使用LSTM构建PM2.5预测模型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 定义可以将时间序列转换为可监督学习的样本集的函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas import concat\n",
    "from pandas import DataFrame\n",
    "\n",
    "def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):\n",
    "\tn_vars = 1 if type(data) is list else data.shape[1]\n",
    "\tdf = DataFrame(data)\n",
    "\tcols, names = list(), list()\n",
    "\t# input sequence (t-n, ... t-1)\n",
    "\tfor i in range(n_in, 0, -1):\n",
    "\t\tcols.append(df.shift(i))\n",
    "\t\tnames += [('var%d(t-%d)' % (j+1, i)) for j in range(n_vars)]\n",
    "\t# forecast sequence (t, t+1, ... t+n)\n",
    "\tfor i in range(0, n_out):\n",
    "\t\tcols.append(df.shift(-i))\n",
    "\t\tif i == 0:\n",
    "\t\t\tnames += [('var%d(t)' % (j+1)) for j in range(n_vars)]\n",
    "\t\telse:\n",
    "\t\t\tnames += [('var%d(t+%d)' % (j+1, i)) for j in range(n_vars)]\n",
    "\t# put it all together\n",
    "\tagg = concat(cols, axis=1)\n",
    "\tagg.columns = names\n",
    "\t# drop rows with NaN values\n",
    "\tif dropnan:\n",
    "\t\tagg.dropna(inplace=True)\n",
    "\treturn agg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 导入后面要用到的包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* labelEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "values = raw_df.values\n",
    "# integer encode direction\n",
    "encoder = LabelEncoder()\n",
    "values[:, 4] = encoder.fit_transform(values[:,4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 归一化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "values = values.astype('float32')           # 所有数据类型，确保为float\n",
    "scaler = MinMaxScaler(feature_range=(0,1)) \n",
    "scaled = scaler.fit_transform(values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 指定延时小时数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_hours = 3     # 以3个小时的历史数据来预测下一时刻的值\n",
    "n_features = 8  # 解释变量的个数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 转换为监督学习的训练序列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reframed_df shape is:  (43797, 32)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>var1(t-3)</th>\n",
       "      <th>var2(t-3)</th>\n",
       "      <th>var3(t-3)</th>\n",
       "      <th>var4(t-3)</th>\n",
       "      <th>var5(t-3)</th>\n",
       "      <th>var6(t-3)</th>\n",
       "      <th>var7(t-3)</th>\n",
       "      <th>var8(t-3)</th>\n",
       "      <th>var1(t-2)</th>\n",
       "      <th>var2(t-2)</th>\n",
       "      <th>...</th>\n",
       "      <th>var7(t-1)</th>\n",
       "      <th>var8(t-1)</th>\n",
       "      <th>var1(t)</th>\n",
       "      <th>var2(t)</th>\n",
       "      <th>var3(t)</th>\n",
       "      <th>var4(t)</th>\n",
       "      <th>var5(t)</th>\n",
       "      <th>var6(t)</th>\n",
       "      <th>var7(t)</th>\n",
       "      <th>var8(t)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.129779</td>\n",
       "      <td>0.352941</td>\n",
       "      <td>0.245902</td>\n",
       "      <td>0.527273</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.002290</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.148893</td>\n",
       "      <td>0.367647</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.182093</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>0.229508</td>\n",
       "      <td>0.563637</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.008391</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.148893</td>\n",
       "      <td>0.367647</td>\n",
       "      <td>0.245902</td>\n",
       "      <td>0.527273</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.003811</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.159960</td>\n",
       "      <td>0.426471</td>\n",
       "      <td>...</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.138833</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>0.229508</td>\n",
       "      <td>0.563637</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.009912</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.159960</td>\n",
       "      <td>0.426471</td>\n",
       "      <td>0.229508</td>\n",
       "      <td>0.545454</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.005332</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.182093</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>...</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.109658</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>0.213115</td>\n",
       "      <td>0.563637</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.011433</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.182093</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>0.229508</td>\n",
       "      <td>0.563637</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.008391</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.138833</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>...</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.105634</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>0.213115</td>\n",
       "      <td>0.581818</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.014492</td>\n",
       "      <td>0.148148</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.138833</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>0.229508</td>\n",
       "      <td>0.563637</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.009912</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.109658</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>...</td>\n",
       "      <td>0.148148</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.124748</td>\n",
       "      <td>0.485294</td>\n",
       "      <td>0.229508</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.017551</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   var1(t-3)  var2(t-3)  var3(t-3)  var4(t-3)  var5(t-3)  var6(t-3)  \\\n",
       "3   0.129779   0.352941   0.245902   0.527273   0.666667   0.002290   \n",
       "4   0.148893   0.367647   0.245902   0.527273   0.666667   0.003811   \n",
       "5   0.159960   0.426471   0.229508   0.545454   0.666667   0.005332   \n",
       "6   0.182093   0.485294   0.229508   0.563637   0.666667   0.008391   \n",
       "7   0.138833   0.485294   0.229508   0.563637   0.666667   0.009912   \n",
       "\n",
       "   var7(t-3)  var8(t-3)  var1(t-2)  var2(t-2)  ...  var7(t-1)  var8(t-1)  \\\n",
       "3   0.000000        0.0   0.148893   0.367647  ...   0.000000        0.0   \n",
       "4   0.000000        0.0   0.159960   0.426471  ...   0.037037        0.0   \n",
       "5   0.000000        0.0   0.182093   0.485294  ...   0.074074        0.0   \n",
       "6   0.037037        0.0   0.138833   0.485294  ...   0.111111        0.0   \n",
       "7   0.074074        0.0   0.109658   0.485294  ...   0.148148        0.0   \n",
       "\n",
       "    var1(t)   var2(t)   var3(t)   var4(t)   var5(t)   var6(t)   var7(t)  \\\n",
       "3  0.182093  0.485294  0.229508  0.563637  0.666667  0.008391  0.037037   \n",
       "4  0.138833  0.485294  0.229508  0.563637  0.666667  0.009912  0.074074   \n",
       "5  0.109658  0.485294  0.213115  0.563637  0.666667  0.011433  0.111111   \n",
       "6  0.105634  0.485294  0.213115  0.581818  0.666667  0.014492  0.148148   \n",
       "7  0.124748  0.485294  0.229508  0.600000  0.666667  0.017551  0.000000   \n",
       "\n",
       "   var8(t)  \n",
       "3      0.0  \n",
       "4      0.0  \n",
       "5      0.0  \n",
       "6      0.0  \n",
       "7      0.0  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reframed_df = series_to_supervised(scaled, n_hours, 1)\n",
    "print(\"reframed_df shape is: \", reframed_df.shape)\n",
    "reframed_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 拆分成训练集和测试集\n",
    "    * 前面一年的数据作为训练集，剩下的作为训练集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "reframed_values = reframed_df.values\n",
    "n_train_hours = 3 * 365 * 24\n",
    "train_set = reframed_values[:n_train_hours, :]\n",
    "test_set = reframed_values[n_train_hours:, :]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 拆分成解释变量（模型的输入）、响应变量（模型的输出），即：前面的t-3,t-2,t-1时刻为输入，t时刻为输出"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集 (26280, 24) 26280 (26280,)\n",
      "测试集 (17517, 24) 17517 (17517,)\n"
     ]
    }
   ],
   "source": [
    "n_obs = n_hours * n_features\n",
    "train_X, train_y = train_set[:, :n_obs], train_set[:, -n_features]\n",
    "test_X, test_y = test_set[:, :n_obs], test_set[:, -n_features]\n",
    "print('训练集', train_X.shape, len(train_X), train_y.shape)\n",
    "print('测试集', test_X.shape, len(test_X), test_y.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* reshape input to be 3D [samples, timesteps, features]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(26280, 3, 8) (26280,) (17517, 3, 8) (17517,)\n"
     ]
    }
   ],
   "source": [
    "train_X_reshaped = train_X.reshape((train_X.shape[0], n_hours, n_features))\n",
    "test_X_reshaped = test_X.reshape((test_X.shape[0], n_hours, n_features))\n",
    "print(train_X_reshaped.shape, train_y.shape, test_X_reshaped.shape, test_y.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 构建网络"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "from keras.layers import LSTM\n",
    "\n",
    "model = Sequential()\n",
    "model.add(LSTM(50, input_shape=(train_X_reshaped.shape[1], train_X_reshaped.shape[2])))\n",
    "model.add(Dense(1))\n",
    "model.compile(loss='mse', optimizer='adam')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 训练网络"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/60\n",
      "274/274 - 7s - loss: 0.0022 - val_loss: 0.0068 - 7s/epoch - 25ms/step\n",
      "Epoch 2/60\n",
      "274/274 - 1s - loss: 0.0011 - val_loss: 0.0025 - 1s/epoch - 4ms/step\n",
      "Epoch 3/60\n",
      "274/274 - 1s - loss: 9.7502e-04 - val_loss: 0.0018 - 983ms/epoch - 4ms/step\n",
      "Epoch 4/60\n",
      "274/274 - 1s - loss: 8.8853e-04 - val_loss: 0.0014 - 925ms/epoch - 3ms/step\n",
      "Epoch 5/60\n",
      "274/274 - 1s - loss: 7.9770e-04 - val_loss: 0.0011 - 938ms/epoch - 3ms/step\n",
      "Epoch 6/60\n",
      "274/274 - 1s - loss: 7.2828e-04 - val_loss: 9.3931e-04 - 971ms/epoch - 4ms/step\n",
      "Epoch 7/60\n",
      "274/274 - 1s - loss: 6.9389e-04 - val_loss: 8.5605e-04 - 957ms/epoch - 3ms/step\n",
      "Epoch 8/60\n",
      "274/274 - 1s - loss: 6.8188e-04 - val_loss: 8.3035e-04 - 970ms/epoch - 4ms/step\n",
      "Epoch 9/60\n",
      "274/274 - 1s - loss: 6.7690e-04 - val_loss: 8.2864e-04 - 903ms/epoch - 3ms/step\n",
      "Epoch 10/60\n",
      "274/274 - 1s - loss: 6.7367e-04 - val_loss: 8.3723e-04 - 901ms/epoch - 3ms/step\n",
      "Epoch 11/60\n",
      "274/274 - 1s - loss: 6.7108e-04 - val_loss: 8.4813e-04 - 920ms/epoch - 3ms/step\n",
      "Epoch 12/60\n",
      "274/274 - 1s - loss: 6.6889e-04 - val_loss: 8.5798e-04 - 947ms/epoch - 3ms/step\n",
      "Epoch 13/60\n",
      "274/274 - 1s - loss: 6.6694e-04 - val_loss: 8.6651e-04 - 971ms/epoch - 4ms/step\n",
      "Epoch 14/60\n",
      "274/274 - 1s - loss: 6.6514e-04 - val_loss: 8.7438e-04 - 949ms/epoch - 3ms/step\n",
      "Epoch 15/60\n",
      "274/274 - 1s - loss: 6.6342e-04 - val_loss: 8.8209e-04 - 894ms/epoch - 3ms/step\n",
      "Epoch 16/60\n",
      "274/274 - 1s - loss: 6.6176e-04 - val_loss: 8.8991e-04 - 963ms/epoch - 4ms/step\n",
      "Epoch 17/60\n",
      "274/274 - 1s - loss: 6.6014e-04 - val_loss: 8.9789e-04 - 960ms/epoch - 4ms/step\n",
      "Epoch 18/60\n",
      "274/274 - 1s - loss: 6.5857e-04 - val_loss: 9.0601e-04 - 945ms/epoch - 3ms/step\n",
      "Epoch 19/60\n",
      "274/274 - 1s - loss: 6.5704e-04 - val_loss: 9.1426e-04 - 973ms/epoch - 4ms/step\n",
      "Epoch 20/60\n",
      "274/274 - 1s - loss: 6.5555e-04 - val_loss: 9.2261e-04 - 958ms/epoch - 3ms/step\n",
      "Epoch 21/60\n",
      "274/274 - 1s - loss: 6.5410e-04 - val_loss: 9.3109e-04 - 929ms/epoch - 3ms/step\n",
      "Epoch 22/60\n",
      "274/274 - 1s - loss: 6.5268e-04 - val_loss: 9.3970e-04 - 938ms/epoch - 3ms/step\n",
      "Epoch 23/60\n",
      "274/274 - 1s - loss: 6.5131e-04 - val_loss: 9.4845e-04 - 967ms/epoch - 4ms/step\n",
      "Epoch 24/60\n",
      "274/274 - 1s - loss: 6.4997e-04 - val_loss: 9.5734e-04 - 931ms/epoch - 3ms/step\n",
      "Epoch 25/60\n",
      "274/274 - 1s - loss: 6.4865e-04 - val_loss: 9.6635e-04 - 960ms/epoch - 4ms/step\n",
      "Epoch 26/60\n",
      "274/274 - 1s - loss: 6.4737e-04 - val_loss: 9.7547e-04 - 950ms/epoch - 3ms/step\n",
      "Epoch 27/60\n",
      "274/274 - 1s - loss: 6.4611e-04 - val_loss: 9.8465e-04 - 959ms/epoch - 4ms/step\n",
      "Epoch 28/60\n",
      "274/274 - 1s - loss: 6.4489e-04 - val_loss: 9.9387e-04 - 973ms/epoch - 4ms/step\n",
      "Epoch 29/60\n",
      "274/274 - 1s - loss: 6.4369e-04 - val_loss: 0.0010 - 955ms/epoch - 3ms/step\n",
      "Epoch 30/60\n",
      "274/274 - 1s - loss: 6.4252e-04 - val_loss: 0.0010 - 939ms/epoch - 3ms/step\n",
      "Epoch 31/60\n",
      "274/274 - 1s - loss: 6.4139e-04 - val_loss: 0.0010 - 989ms/epoch - 4ms/step\n",
      "Epoch 32/60\n",
      "274/274 - 1s - loss: 6.4030e-04 - val_loss: 0.0010 - 965ms/epoch - 4ms/step\n",
      "Epoch 33/60\n",
      "274/274 - 1s - loss: 6.3924e-04 - val_loss: 0.0010 - 955ms/epoch - 3ms/step\n",
      "Epoch 34/60\n",
      "274/274 - 1s - loss: 6.3823e-04 - val_loss: 0.0010 - 964ms/epoch - 4ms/step\n",
      "Epoch 35/60\n",
      "274/274 - 1s - loss: 6.3726e-04 - val_loss: 0.0011 - 904ms/epoch - 3ms/step\n",
      "Epoch 36/60\n",
      "274/274 - 1s - loss: 6.3633e-04 - val_loss: 0.0011 - 934ms/epoch - 3ms/step\n",
      "Epoch 37/60\n",
      "274/274 - 1s - loss: 6.3545e-04 - val_loss: 0.0011 - 949ms/epoch - 3ms/step\n",
      "Epoch 38/60\n",
      "274/274 - 1s - loss: 6.3461e-04 - val_loss: 0.0011 - 923ms/epoch - 3ms/step\n",
      "Epoch 39/60\n",
      "274/274 - 1s - loss: 6.3382e-04 - val_loss: 0.0011 - 991ms/epoch - 4ms/step\n",
      "Epoch 40/60\n",
      "274/274 - 1s - loss: 6.3307e-04 - val_loss: 0.0011 - 977ms/epoch - 4ms/step\n",
      "Epoch 41/60\n",
      "274/274 - 1s - loss: 6.3236e-04 - val_loss: 0.0011 - 935ms/epoch - 3ms/step\n",
      "Epoch 42/60\n",
      "274/274 - 1s - loss: 6.3170e-04 - val_loss: 0.0011 - 965ms/epoch - 4ms/step\n",
      "Epoch 43/60\n",
      "274/274 - 1s - loss: 6.3107e-04 - val_loss: 0.0011 - 938ms/epoch - 3ms/step\n",
      "Epoch 44/60\n",
      "274/274 - 1s - loss: 6.3047e-04 - val_loss: 0.0011 - 931ms/epoch - 3ms/step\n",
      "Epoch 45/60\n",
      "274/274 - 1s - loss: 6.2989e-04 - val_loss: 0.0011 - 980ms/epoch - 4ms/step\n",
      "Epoch 46/60\n",
      "274/274 - 1s - loss: 6.2932e-04 - val_loss: 0.0011 - 985ms/epoch - 4ms/step\n",
      "Epoch 47/60\n",
      "274/274 - 1s - loss: 6.2875e-04 - val_loss: 0.0011 - 922ms/epoch - 3ms/step\n",
      "Epoch 48/60\n",
      "274/274 - 1s - loss: 6.2816e-04 - val_loss: 0.0011 - 927ms/epoch - 3ms/step\n",
      "Epoch 49/60\n",
      "274/274 - 1s - loss: 6.2756e-04 - val_loss: 0.0011 - 951ms/epoch - 3ms/step\n",
      "Epoch 50/60\n",
      "274/274 - 1s - loss: 6.2694e-04 - val_loss: 0.0011 - 930ms/epoch - 3ms/step\n",
      "Epoch 51/60\n",
      "274/274 - 1s - loss: 6.2631e-04 - val_loss: 0.0011 - 921ms/epoch - 3ms/step\n",
      "Epoch 52/60\n",
      "274/274 - 1s - loss: 6.2565e-04 - val_loss: 0.0012 - 941ms/epoch - 3ms/step\n",
      "Epoch 53/60\n",
      "274/274 - 1s - loss: 6.2499e-04 - val_loss: 0.0012 - 969ms/epoch - 4ms/step\n",
      "Epoch 54/60\n",
      "274/274 - 1s - loss: 6.2432e-04 - val_loss: 0.0012 - 948ms/epoch - 3ms/step\n",
      "Epoch 55/60\n",
      "274/274 - 1s - loss: 6.2366e-04 - val_loss: 0.0012 - 915ms/epoch - 3ms/step\n",
      "Epoch 56/60\n",
      "274/274 - 1s - loss: 6.2299e-04 - val_loss: 0.0012 - 934ms/epoch - 3ms/step\n",
      "Epoch 57/60\n",
      "274/274 - 1s - loss: 6.2233e-04 - val_loss: 0.0012 - 920ms/epoch - 3ms/step\n",
      "Epoch 58/60\n",
      "274/274 - 1s - loss: 6.2167e-04 - val_loss: 0.0012 - 922ms/epoch - 3ms/step\n",
      "Epoch 59/60\n",
      "274/274 - 1s - loss: 6.2101e-04 - val_loss: 0.0012 - 917ms/epoch - 3ms/step\n",
      "Epoch 60/60\n",
      "274/274 - 1s - loss: 6.2036e-04 - val_loss: 0.0012 - 984ms/epoch - 4ms/step\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(train_X_reshaped, \n",
    "                    train_y, \n",
    "                    epochs=60, \n",
    "                    batch_size=96, \n",
    "                    validation_data=(test_X_reshaped, test_y), \n",
    "                    verbose=2, \n",
    "                    shuffle=False)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 绘制训练、测试的损失函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1920x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot history\n",
    "plt.figure(dpi=300)\n",
    "plt.plot(history.history['loss'], label='训练')\n",
    "plt.plot(history.history['val_loss'], label='验证集')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 利用模型进行预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "548/548 [==============================] - 1s 1ms/step\n",
      "Test RMSE: 33.827\n"
     ]
    }
   ],
   "source": [
    "from math import sqrt\n",
    "from numpy import concatenate\n",
    "\n",
    "# make a prediction\n",
    "yhat = model.predict(test_X_reshaped)\n",
    "test_X = test_X_reshaped.reshape((test_X.shape[0], n_hours*n_features))\n",
    "# invert scaling for forecast\n",
    "inv_yhat = concatenate((yhat, test_X[:, -7:]), axis=1)\n",
    "inv_yhat = scaler.inverse_transform(inv_yhat)\n",
    "inv_yhat = inv_yhat[:,0]\n",
    "# invert scaling for actual\n",
    "test_y = test_y.reshape((len(test_y), 1))\n",
    "inv_y = concatenate((test_y, test_X[:, -7:]), axis=1)\n",
    "inv_y = scaler.inverse_transform(inv_y)\n",
    "inv_y = inv_y[:,0]\n",
    "# calculate RMSE\n",
    "rmse = sqrt(mean_squared_error(inv_y, inv_yhat))\n",
    "print('Test RMSE: %.3f' % rmse)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.13 ('ai_txtbook')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "3f7851e38dce13968630152acfada13e17192bdc676945d7b675298112638bc3"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
